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TM5101
Continuous-Time Financial Mathematics
ஹᚃࣛගৌਕᅰኪ
This course provides a probabilistic
way in depth to establish no arbi-
trage asset pricing theory under sev-
eral financial markets and contingent
claims. We focus on financial inter-
pretations of mathematical modeling
for risky asset dynamics. Applica-
tions of Monte Carlo simulations in
financial engineering will be dis-
cussed along with the development
of this course. Beyond classical fi-
nancial models, Levy process and its
pricing and hedging theory will be
addressed.
Instructor: Chuan-Hsiang Han (ᒵෂୂ)
Department of Quantitative Finance, NTHU
Office: 204-2 Innovation Incubator(ԃϓʕː)
Office Hours: 1400 – 1700 Tuesday or by appointment
Phone: 03-5742224
Email: chhan@mx.nthu.edu.tw
URL: enter from http://www.qf.nthu.edu.tw/people/teacher.php
Class Time: W2W3W4 (9:00AM - 12:00AM)
Classroom Location: Room 101, Research and Development Bldg
(೯101)
Prerequisities:
Courses equivalent to TM5091 Stochastic Calculus for Finance (
Ito’s calculus)
Text: Steven E. Shreve, “Stochastic Calculus for Finance II:
continuous-Time Models,” Springer-Verlag, 2003.
References:
1. Damien Lamberton and Bernard Lapeyre, “Introduction to
Stochastic Calculus Applied to Finance,”Springer, (1 edition)
1996.
2. P. Glasserman, Monte Carlo Methods for Financial
Engineering, Springer-Verlag, New York, 2003.
Continuous-Time Financial Mathematics - Syllabus Spring 2007
TM5101 Continuous-Time Financial Mathematics
Course Contents:
1. Stochastic differential equations for finance (the Markov
property, interest rate models, multi-dimensional
Feynman-Kac theorems, SDE discretization schemes)
2. Pricing some exotic options (knock-out barrier options,
lookback options, Asian options, control variate method,
dimension reduction PDEs)
3. American derivative securities (stopping times, American
put and call options, free boundary problems, least-
squares and duality methods)
4. Change of numeraire (numeraire, foreign and domestic
risk-neutral measures, forward measures, importance
sampling)
5. Term structure models (affine-yield models, Heath-
Jarrow-Morton model, forward LIBOR model)
6. Introduction to Levy processes (Poisson process, com-
pound Poisson process, jump processes and their Inte-
grals, stochastic calculus for jump processes, change of
measure, pricing and hedging a European Call in a Jump
model, PIDE)
7. Topics on Stochastic Volatility: Perturbation methods, Av-
eraging effect, Applications to credit risk.
Grading:
Assignments 40%, Exams(midterm and final) 40%, Course Project 20%.
Continuous-Time Financial Mathematics - Syllabus Spring 2007
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